Quantum Hamiltonian Verification

Related lectures (28)

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Explores thought experiments with polarisation qubits of photons and the concept of superposition in Hilbert space.

Explores conditional density, expectations, and independence of random variables with practical examples.

Explores conditional probability, Bayes' theorem, and prediction decomposition for informed decision-making.

Introduces key concepts in probability and statistics, covering random experiments, events, intersections, unions, and more.

Explores variance, covariance, and practical applications in statistics and probability.

Covers the design, control, and readout of superconducting qubits.

Explores the Central Limit Theorem, covariance, correlation, joint random variables, quantiles, and the law of large numbers.

Covers Simpson's paradox, probability distributions, and real-life examples in probability and statistics.

Explores fundamental theorems in probability and statistics, joint probability laws, and marginal distributions.

Explores projective quantum measurements, system-meter formulation, observable outcomes, and coupling between systems and meters.